Advanced technologies for real-timecross-channel fraud detection
Kaspersky
Fraud
Prevention

Businesses have already gone far beyond traditional services providing
their customers with access to their personal accounts via online
channels and mobile devices. Digital transformation brings newopportunities, customers and of course, more revenue. On the otherhand, it opens the doors to fraudsters with new sophisticated schemes,cross-channel attacks both on the user’s device and account.

New Account Fraud

Account Takeover

Tools for Fraud
Automation

Money Laundering andLoyalty Fraud

Attacks with Remote
Administration Tools

Malware and Phishing

Kaspersky Fraud Prevention uses a complex range of advanced technologies with
Machine Learning applied for proactive detection of sophisticated fraud schemes
across web and mobile channels, in real-time, before the transaction occurs.

SessioneventsMobileand Web
Channelprotection

Kaspersky Fraud Prevention Cloud
MalwareDetection

Behavioral
Analysis

Device andEnvironment
Analysis

Behavioral
Biometrics

Device and Environment Analysis leverages the global
presence of Kaspersky Lab to identify “good” devices and use
this knowledge for user authentication. Based on global device ID,
IP-address, location reputation and more any attribute marked
as involved in fraudulent activity is also proactively detected
and shown as suspicious or related to fraud.

Behavioral Analysis looks at the user’s activity during the login
and session, analysing the typical navigation and time patterns,
how the user acts in the personal account, what he clicks
and more. This data allows profiles of normal behavior to bebuilt and any abnormal or suspicious activity during the login
and the whole session to be detected.

Behavioral Biometrics analyses your unique customer’sinteraction with their device, like mouse movements, clicks,
touches, swipe speed and more to detect whether a device isbeing used by a legitimate user or not. This technology can also
be used to detect bots and remote administration tools.

Malware Detection is checking if the customer’s device is
infected with malware covering both web and mobile channels.
The technology is using several sophisticated approaches
including non-signature detection and agentless availability.

MalwareDetection

Behavioral
Biometrics
Kaspersky Fraud
Prevention Cloud

Behavioral
AnalysisDeviceandEnvironment
Analysis

Machine learning is the core partof Kaspersky Fraud Prevention
Platform. Various machine learning
methods based on supervisedand semi-supervised approaches areapplied to enhance the efficiency
and accuracy of Kaspersky Fraud
Prevention Technologies.

Depersonalised data processed by 4 key technologies turns into real-time verdicts
within Kaspersky Fraud Prevention Cloud. Based on continuous and proactive
analysis of device and session reputation across online and mobile channels,
behavioral and biometric data and other aspects, our Cloud solution feeds yourinternal monitoring systems with data crucial for timely and highly efficient fraud
detection. This empowers your current systems to benefit from the additional
context for proactive and more accurate decision-making, as well as for intelligent
and adaptive use of step-up authentication.

KEY Benefits:• Continuous and proactive real-time detection of advanced fraud before transaction
occurs• Multichannel fraud detection: online and mobile channels• Detection of fraudsters and money laundering• Improved user experience due to RBA, leading to growth and retention of customerbase• Comprehensive session statistics for forensics with dedicated team support• Complements existing Enterprise Fraud Management solutions• Productivity improvements with automation

Contact us to learn more: kfp@kaspersky.com

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kfp@kaspersky.com
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